SandboxAQ
Principal Product Manager, Catalysis
$163K–$306K
United States · Remote · Principal · Full-time · Posted Oct 2, 2026
- Experience
- 5+ years in product management.
- Education
- Bachelor's degree in Chemistry, Chemical Engineering or Materials Science or equivalent practical experience.
About the job
Own the catalysis product strategy for SandboxAQ’s AI-driven materials discovery platform, delivering CHIPS Act commitments while building a commercial product business.
What you'll do
- Set the catalysis product vision, roadmap, requirements, and scientific benchmarking in collaboration with scientific, ML, and customer-facing teams.
- Translate CHIPS Act objectives into product deliverables and evidence packages, coordinating with program stakeholders on milestone delivery.
- Develop commercialization strategy, customer value propositions, partnerships, packaging, pricing, and product KPIs across catalysis markets.
What they ask for
- 5+ years in product management, including ownership of a technically deep product sold to external customers; experience in software- and service-oriented business models.
- Strong domain grounding in materials science, catalysis, chemistry, or chemical engineering.
- Track record shipping AI/ML-driven scientific or engineering software to external, paying or contracted users, including products with unclear ICP or demand-generation funnel.
- Bachelor's degree in Chemistry, Chemical Engineering or Materials Science or equivalent practical experience.
Nice to have
- Experience in a major catalysis end market, such as refining, petrochemicals, emissions control, or energy-transition catalysis.
- Familiarity with computational chemistry workflows such as density functional theory (DFT), molecular dynamics, or microkinetic modelling.
Pay
$163.2K – $306K • Multiple Ranges (currency and whether base salary or total pay not specified)
Tools
AI/ML, density functional theory (DFT), molecular dynamics, microkinetic modelling, machine-learned interatomic potentials, multi-tenant SaaS, API
AI focus
Product management for AI/ML-driven scientific software and Large Quantitative Models used to simulate molecular behavior and support catalysis discovery, prediction, and optimization.
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